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\n  \n 2022\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n Blind Non-Uniform Motion Deblurring using Atrous Spatial Pyramid Deformable Convolution and Deblurring-Reblurring Consistency.\n \n \n \n \n\n\n \n Huo, D.; Masoumzadeh, A.; and Yang, Y.\n\n\n \n\n\n\n In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022. \n \n\n\n\n
\n\n\n\n \n \n \"Blind paper\n  \n \n \n \"Blind supplemental\n  \n \n \n \"Blind code\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{huo2021blind,\n    title={Blind Non-Uniform Motion Deblurring using Atrous Spatial Pyramid Deformable Convolution and Deblurring-Reblurring Consistency},\n    author={Huo, Dong and Masoumzadeh, Abbas and Yang, Yee-Hong},\n    year={2022},\n    booktitle=CVPRW,\n    url_Paper={https://openaccess.thecvf.com/content/CVPR2022W/NTIRE/papers/Huo_Blind_Non-Uniform_Motion_Deblurring_Using_Atrous_Spatial_Pyramid_Deformable_Convolution_CVPRW_2022_paper.pdf},\n    url_Supplemental={https://openaccess.thecvf.com/content/CVPR2022W/NTIRE/supplemental/Huo_Blind_Non-Uniform_Motion_CVPRW_2022_supplemental.pdf},\n    url_Code={https://github.com/Dong-Huo/ASPDC}\n}\n\n
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\n \n\n \n \n \n \n \n \n Blind Image Deconvolution Using Variational Deep Image Prior.\n \n \n \n \n\n\n \n Huo, D.; Masoumzadeh, A.; Kushol, R.; and Yang, Y.\n\n\n \n\n\n\n 2022.\n \n\n\n\n
\n\n\n\n \n \n \"Blind arxiv\n  \n \n \n \"Blind code\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{huo2022blind,\n  title={Blind Image Deconvolution Using Variational Deep Image Prior},\n  author={Huo, Dong and Masoumzadeh, Abbas and Kushol, Rafsanjany and Yang, Yee-Hong},\n  year={2022},\n  eprint={2202.00179},\n  archivePrefix={arXiv},\n  primaryClass={cs.CV},\n  url_arXiv = {https://arxiv.org/abs/2202.00179},\n  url_Code={https://github.com/Dong-Huo/VDIP-Deconvolution}\n}\n\n
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\n \n\n \n \n \n \n \n \n ADDFormer: Alzheimer's Disease Detection from Structural MRI Using Fusion Transformer.\n \n \n \n \n\n\n \n Kushol, R.; Masoumzadeh, A.; Huo, D.; Kalra, S.; and Yang, Y.\n\n\n \n\n\n\n In International Symposium on Biomedical Imaging (ISBI), 2022. \n \n\n\n\n
\n\n\n\n \n \n \"ADDFormer: paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 5 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{KusholISBI2022,\n  title={ADDFormer: Alzheimer's Disease Detection from Structural MRI Using Fusion Transformer},\n  author={Kushol, Rafsanjany and Abbas Masoumzadeh and Huo, Dong and Kalra, Sanjay and Yang, Yee-Hong},\n  booktitle={International Symposium on Biomedical Imaging (ISBI)},\n  year={2022},\n  url_Paper={https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9761421&tag=1}\n}\n\n
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\n  \n 2021\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Resmax: An Alternative Soft-Greedy Operator for Reinforcement Learning.\n \n \n \n \n\n\n \n Miahi, E.; MacQueen, R.; Ayoub, A.; Masoumzadeh, A.; and White, M.\n\n\n \n\n\n\n 2021.\n \n\n\n\n
\n\n\n\n \n \n \"Resmax: openreview\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{miahi2021resmax,\n  title={Resmax: An Alternative Soft-Greedy Operator for Reinforcement Learning},\n  author={Miahi, Erfan and MacQueen, Revan and Ayoub, Alex and Masoumzadeh, Abbas and White, Martha},\n  year={2021},\n  url_OpenReview={https://openreview.net/pdf?id=RjMtFbmETG}\n}\n
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\n  \n 2020\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Network-Based Analysis of Public Transportation Systems in North American Cities.\n \n \n \n \n\n\n \n Masoumzadeh, A.; and Pechlivanoglou, T.\n\n\n \n\n\n\n 2020.\n \n\n\n\n
\n\n\n\n \n \n \"Network-Based arxiv\n  \n \n \n \"Network-Based code\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 7 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{Masoumzadeh2020network,\n    title={Network-Based Analysis of Public Transportation Systems in North American Cities},\n    author={Masoumzadeh, Abbas and Pechlivanoglou, Tilemachos},\n    year={2020},\n    eprint={2001.01838},\n    archivePrefix={arXiv},\n    primaryClass={cs.SI},\n    url_arXiv = {https://arxiv.org/abs/2001.01838},\n    url_Code={https://github.com/AbbasMZ/city-transit-analyzer}\n}\n\n
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\n  \n 2019\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Object Detection Frameworks for Fully Automated Particle Picking in Cryo-EM.\n \n \n \n \n\n\n \n Masoumzadeh, A.\n\n\n \n\n\n\n Master's thesis, York University, 2019.\n \n\n\n\n
\n\n\n\n \n \n \"Object thesis\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 3 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@MASTERSTHESIS{MasoumzadehMSc2019,\n  author = {Abbas Masoumzadeh},\n  title = {Object Detection Frameworks for Fully Automated Particle Picking in Cryo-EM},\n  school = {York University},\n  year = {2019},\n  url_Thesis = {https://yorkspace.library.yorku.ca/xmlui/bitstream/handle/10315/36760/Masoumzadeh-Tork_Abbas_2019_Masters.pdf}\n}\n\n
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\n \n\n \n \n \n \n \n \n HydraPicker: Fully Automated Particle Picking in Cryo-EM by Utilizing Dataset Bias in Single Shot Detection.\n \n \n \n \n\n\n \n Masoumzadeh, A.; and Brubaker, M. A.\n\n\n \n\n\n\n In Proceedings of the British Machine Vision Conference (BMVC), 2019. \n \n\n\n\n
\n\n\n\n \n \n \"HydraPicker: paper\n  \n \n \n \"HydraPicker: supplemental\n  \n \n \n \"HydraPicker: code\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 15 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{MasoumzadehBMVC2019,\n  title={HydraPicker: Fully Automated Particle Picking in Cryo-EM by Utilizing Dataset Bias in Single Shot Detection},\n  author={Abbas Masoumzadeh and M. A. Brubaker},\n  booktitle=BMVC,\n  year={2019},\n  url_Paper={MasoumzadehBMVC2019.pdf},\n  url_Supplemental={MasoumzadehBMVC2019-Supplemental.zip},\n  url_Code={https://github.com/AbbasMZ/HydraPicker_Colab}\n}\n\n
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